{"id":"W3093891877","doi":"10.1093/cid/ciaa1479","title":"Association Between Minimum Inhibitory Concentration, Beta-lactamase Genes and Mortality for Patients Treated With Piperacillin/Tazobactam or Meropenem From the MERINO Study","year":2020,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Health and Medical Research Council","keywords":"Piperacillin/tazobactam; Meropenem; Medicine; Piperacillin; Tazobactam; Odds ratio; Internal medicine; Broth microdilution; Minimum inhibitory concentration; Beta-Lactamase Inhibitors; Microbiology; Gastroenterology; Antibiotics; Biology; Antibiotic resistance; Imipenem; Genetics; Bacteria; Pseudomonas aeruginosa","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002222099,0.0004403457,0.0008472061,0.0002208499,0.000187457,0.0005672927,0.0002487478,0.0003012932,0.00148534],"category_scores_gemma":[0.002375742,0.0001637627,0.0007722096,0.0002076002,0.0001686199,0.0002932467,0.0003363288,0.0006328397,0.00008700138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698969,"about_ca_system_score_gemma":0.0002069897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000260281,"about_ca_topic_score_gemma":0.0005368509,"domain_scores_codex":[0.998956,0.0005637438,0.00009227612,0.0001965044,0.0001248899,0.00006652329],"domain_scores_gemma":[0.998383,0.0004753847,0.0006094126,0.0001494711,0.0001176966,0.0002649793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04035323,0.0002777576,0.9414167,0.0003791648,0.001983198,0.0001963101,0.000129215,0.0003114285,0.003013964,0.0001093896,0.0007240091,0.01110572],"study_design_scores_gemma":[0.002035554,0.004504351,0.9887348,0.000085396,0.001399973,0.000404089,0.0001122439,0.0008180205,0.0007282779,0.0001231847,0.001037069,0.00001703677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978377,0.001384234,0.000133347,0.0001046867,0.00001713602,0.00001749851,0.000249583,0.000003299473,0.0002525542],"genre_scores_gemma":[0.9990646,0.0002344688,0.00009326186,0.00005073404,0.0000566585,0.00001826192,0.0003799217,0.000002596115,0.00009950613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002222099,"threshold_uncertainty_score":0.01175177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399558062250738,"score_gpt":0.3190517721152251,"score_spread":0.2850561914927177,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}